IGBT剩余寿命预测研究进展及其挑战OA
Research Progress and Challenges of Remaining Useful Life Prediction for IGBT
绝缘栅双极型晶体管(Insulated Gate Bipolar Transistor,IGBT)作为电力电子系统的核心器件,其可靠性对整个系统的稳定运行至关重要.阐述了IGBT剩余寿命预测的研究现状与未来展望.介绍了IGBT的模块结构、失效机理、失效特征参数;重点梳理了基于物理模型驱动、数据驱动的IGBT剩余寿命预测文献;在此基础上,提出基于数字孪生的IGBT剩余寿命预测方法,详细阐述了数字孪生的起源、基本概念、技术内涵及其在预测性维护中的价值;梳理该方法的特点与适用场景,构建了基于数字孪生的IGBT剩余寿命预测方法的架构.最后,对该领域面临的挑战与未来发展趋势进行了展望,包括多物理场耦合建模、多源异构数据融合、标准化框架构建、实时性提升以及不确定性量化等,旨在为基于数字孪生的IGBT健康管理提供理论参考和技术指导.
As the core devices of power electronic systems,Insulated Gate Bipolar Transistor(IGBT)is regarded as a decisive component for the stable operation of the whole system,and their reliability is highly valued.The research status and future prospects of remaining useful life prediction for IGBT are summarized.The module structures,failure mechanisms and characteristic failure parameters of the IGBT are introduced.Relevant literatures on IGBT remaining useful life prediction driven by physical models and data are systematically sorted out.On this basis,a remaining useful life prediction method based on digital twin is put forward for the IGBT.The origin,basic concept,and technical connotation of the digital twin and its application value in predictive maintenance are elaborated in detail.The characteristics and applicable scenarios of the above method are analyzed,and an overall architecture of digital twin-based remaining useful life prediction for IGBT is established.Finally,the existing challenges and future development trends in this research field are prospected,including multi-physics coupling modeling,multi-source heterogeneous data fusion,standardized framework establishment,real-time performance optimization and uncertainty quantification.Theoretical references and technical supports are provided for digital twin-based health management of IGBT in this work.
王康;李廷;樊嘉慧;邱婧;王啸博
嘉兴职业技术学院 智能制造学院,浙江 嘉兴 314036嘉兴职业技术学院 智能制造学院,浙江 嘉兴 314036嘉兴职业技术学院 智能制造学院,浙江 嘉兴 314036嘉兴职业技术学院 智能制造学院,浙江 嘉兴 314036洛阳市轨道交通集团有限责任公司运营分公司,河南 洛阳 471023
信息技术与安全科学
绝缘栅双极型晶体管(IGBT)数字孪生物理模型数据驱动剩余寿命预测
insulated gate bipolar transistor(IGBT)digital twinphysical modeldata drivenremaining life prediction
《机电工程技术》 2026 (15)
13-19,61,8
嘉兴市科技局公益类项目(2025CGW108)嘉兴市公益性研究计划项目(2024AD10040,2025CGZ027)
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